-support vector machine as conditional value-at-risk minimization.
Akiko TakedaMasashi SugiyamaPublished in: ICML (2008)
Keyphrases
- support vector machine
- svm classifier
- multi class
- support vector
- machine learning
- support vector machine svm
- feature vectors
- training data
- feature space
- kernel methods
- objective function
- decision forest
- stock market prediction
- k nearest neighbor
- classification method
- error function
- kernel function
- multi class support vector machines
- feature selection
- artificial intelligence
- data mining
- probabilistic model
- special case
- image processing
- hyperplane
- small sample
- soft margin
- lp norm
- real world
- dimension reduction methods
- databases